All terms

AI Crawler

Web crawling

Also known as: crawling, site crawling

Web crawling is the automated process of fetching pages and following links to discover and download content across a site or the wider web. Search engines, AI companies, SEO tools and archives all run crawlers to build indexes and datasets. Crawling is the discovery and retrieval step that happens before content is parsed, indexed or used to train or ground a model.

What it is

A crawler starts from a set of known URLs, requests each page, extracts links and queues new URLs to visit, subject to rules about scope, depth and rate. It reads robots.txt, respects or ignores directives depending on the operator, and records response codes, redirects and content. Modern crawlers may also render JavaScript to see content that only appears after the page loads.

Why it matters

If a page is never crawled it cannot be indexed, cited or retrieved, so crawlability is the entry condition for organic and AI visibility. Crawl behaviour also reveals technical problems such as broken links, redirect chains, orphan pages and wasted budget on faceted URLs. With AI crawlers now fetching content for training and for live retrieval, decisions about what to allow or block have commercial consequences.

How it works

Site owners manage crawling with robots.txt rules, XML sitemaps, internal linking, canonical tags, response codes and server performance. Practitioners run their own crawls with tools such as Screaming Frog or Sitebulb to audit a site, and read server log files to see what real search and AI crawlers actually fetched. Slow responses, heavy JavaScript and thin duplicate URLs all reduce how much of a site gets crawled.

When it applies

It applies to every site that wants to be found, and especially after migrations, redesigns, large content launches or changes to URL structure. It also applies whenever a business is deciding whether to allow or block specific AI user agents.

Examples

  • An ecommerce team blocks crawling of filtered listing URLs so crawlers spend their time on category and product pages.
  • A publisher reviews server logs and finds most crawl requests hitting old paginated archives rather than new articles.
  • A B2B site adds internal links from its main resources hub to orphaned case studies so crawlers can reach them.

How it is measured

  • Crawl requests per day by user agent from server logs
  • Ratio of crawled URLs to indexed URLs
  • Share of crawl requests returning non-200 status codes
  • Average server response time for crawler requests

Primary research · August 2026

How ChatGPT Shortlists Software Brands

An audit across 10 categories and 60 buying questions. I recorded what ChatGPT reads, throws away and links to when a buyer asks it which software to buy, and what that decides.

60
Questions asked
10
Software markets
2,680
Results read
367
Links shown
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